Lead Data Scientist

Senior Technical Specialist Data Science

Key Responsibilities

• Leadership & Mentorship

  : Lead, mentor, and inspire a team of Data Scientists to deliver enterprise-grade AI/ML solutions.

• Solution Architecture

  : Design and implement end-to-end AI/ML architectures for complex business problems.

• Generative AI & NLP

  : Develop Generative AI applications, including RAG-based chatbots, leveraging LLMs, LangChain, LlamaIndex, and Azure OpenAI.

• MLOps & Deployment

  : Build, deploy, and monitor scalable ML pipelines using MLFlow, Kubeflow, ClearML, and Azure MLOps frameworks.

• Advanced Modeling

  : Deliver predictive modeling, deep learning, and NLP solutions using TensorFlow, PyTorch, BERT, and advanced ML algorithms.

• Data Visualization & Insights

  : Perform data analysis and develop interactive dashboards using Tableau, Power BI, Streamlit, and Matplotlib.

• Cloud & DevOps Integration

  : Collaborate with DevOps teams to automate ML workflows, optimize infrastructure with Docker/Jenkins, and ensure model scalability and reliability.

• Strategic Collaboration

  : Partner with business leaders to define AI strategy, drive data-driven decision-making, and deliver measurable business impact.

• Innovation & Research

  : Stay at the forefront of AI/ML advancements, applying emerging techniques to improve accuracy, efficiency, and scalability.

Required Skills & Expertise

• Programming & Scripting

  : Python, PowerShell, Bash, Perl

• Machine Learning & Deep Learning

  : SVM, KNN, XGBoost, LSTM, TensorFlow, PyTorch

• NLP & Generative AI

  : Spacy, BERT, LangChain, LlamaIndex, LLOps frameworks

• Data Visualization

  : Tableau, Power BI, Streamlit, Matplotlib

• Cloud & MLOps

  : Azure ML Studio, Azure OpenAI, Docker, Jenkins, GitHub, MLFlow, ClearML, Kubeflow

• Databases & Big Data

  : MS-SQL, Data Preprocessing, Feature Engineering

Qualifications

• Bachelors or Master’s in Computer Science, Data Science, AI/ML, or related field.
  

• 10+ years

  of experience in data science/AI, with at least

  3+ years in a leadership role

  .
• Proven track record of

  delivering AI/ML solutions at scale

  in enterprise environments.